A variety of works can benefit from training with the features generated by our distribution calibration strategy. We apply our distribution calibration strategy on two simple few-shot classification algorithms, Baseline [1]} and Baseline++ [1]}. Table REF  shows that our distribution calibration brings over 10% of accuracy improvement on both.
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